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Pasari, Sumanta (Springer, 2020-07)

Renewable energy comprises solar, wind, tidal, biomass and geothermal energies. Use of renewable energy resources as a substitute for fossil fuels inevitably reduce environmental footprint. Therefore, integration of renewable ...

Wind Energy Prediction Using Artificial Neural Networks

Pasari, Sumanta (Springer, 2020-07)

Renewable energy sources are one of the most vital alternatives to the conventional non-replenishable energy generating systems. Among several renewable power sources, the installed wind power capacity contributes to almost ...

Time Series Auto-Regressive Integrated Moving Average Model for Renewable Energy Forecasting

Pasari, Sumanta (Springer, 2020-07)

Due to the rapid pace of industrialization and growing demand for energy consumption, forecasting of renewable energy has become an inevitable focus of many recent studies. In this paper, our aim is to develop a univariate ...

Indian Plate Motion Revealed by GPS Observations: Preliminary Results

Pasari, Sumanta (CRC Press, 2021)

In this study, a brief summary on the motion of the Indian plate and its interior deformation is presented. An analysis of four GPS stations across the Indian subcontinent provides evidence of convergence toward the Eurasian ...

A Study of After-Effects of Kerala Floods Using VIIRS-OLS Nighttime Light Data

Pasari, Sumanta (CRC Press, 2021)

In August 2018, massive floods occurred in the state of Kerala, India, causing life and property damages amounting to billions of rupees. In this chapter, a methodology is proposed using the Visible Infrared Imaging ...

Modelling War Phenomena with an emphasis on Operation Research

Pasari, Sumanta (IEEE, 2021)

Different domains of mathematics and informatics have a great impact on a wide range of army needs. Mathematical models when formulated with appropriate parameters can determine an approximate state of war progress. Fields ...

Tectonic deformation along the Delhi-Haridwar Ridge revealed by InSAR observations: Preliminary results

Pasari, Sumanta (IEEE, 2021)

Ridges and fractures along the interplate boundaries influence arc morphology and earthquake rupture propagation. The space-based interferometric synthetic aperture radar (InSAR) approach has been used to investigate ...

Iterative Empirical Orthogonal Function in Gap Filling of GPS and InSAR Data

Pasari, Sumanta (IEEE, 2021)

Missing values or gaps in observational datasets are a common problem. Data gaps may lead to inaccurate inference about the underlying process. In Synthetic Aperture Radar (SAR) images, the reason could be interference ...

Application of Empirical Orthogonal Function on Geodetic Time-Series Data

Pasari, Sumanta (IEEE, 2021)

Growing amount of geodetic data through sophisticated data collection techniques in recent times has led to substantial challenges in data analysis and interpretation. The empirical orthogonal function (EOF), commonly known ...

Use of Shannon Information Entropy in Earthquake Nowcasting

Pasari, Sumanta (IEEE, 2021)

Earthquake nowcasting uses cumulative counts of interevent small earthquakes (say, 3.0≤M<6.0) between successive large earthquakes (M≥6.0) to estimate the current dynamic state of a geological fault system. As Shannon ...

Hyperspectral Image Clustering Using Nearest Neighbor

Pasari, Sumanta (IEEE, 2021)

Clustering of hyperspectral images is a challenging task due to the high spectral resolution and the presence of elaborate spatial structures in the data. In this study, a new clustering framework for hyperspectral imagery ...

Wind Speed Prediction with Spatio Temporal Correlation using Convolutional and Spiking Neural Networks

Pasari, Sumanta (IEEE, 2022)

Due to inherent intermittency, reliable wind speed prediction with space-time correlation is a crucial task for several practical applications, including grid operation and energy trading. This paper aims to address this ...

Hierarchical Classification using Neighbourhood Exploration for Sparse Text Tweets

Pasari, Sumanta; Tiwari, Kamlesh (IEEE, 2022)

Twitter has grown into a vast network of small informal text, and navigating it often becomes difficult for us. Here, we explore Natural Language Processing (NLP) approaches to make the topic classification of tweets easier. ...

Synthetic Aperture Radar Interferometry to Measure Earthquake-Related Deformation: A Case Study from Nepal

Pasari, Sumanta (Springer, 2022-02)

The Himalayan syntax is located at the collision boundary of the Indian and the Eurasian plates form an arc that extends ~2400 km across the continent, starting from the Kashmir Himalaya to Northeast India. Due to this ...

Estimation of Current Earthquake Hazard Through Nowcasting Method

Pasari, Sumanta (Springer, 2022)

In several tectonically active regions of the world, large magnitude earthquakes on fault systems are observed to occur in near-repetitive cycles as a consequence of stress accumulation and moment release. Since absolute ...

Earthquake Forecasting in the Himalayas Artificial Neural Networks

Pasari, Sumanta (Springer, 2022)

Earthquake is a natural phenomenon that causes huge loss in both life and property. Improvement of seismic hazard assessment requires integrated techniques such as geodetic, stochastic, and machine learning models. Forecasting ...

Effectiveness of PNL technique in disaster damage assessment: evidence from selective case studies

Pasari, Sumanta (IOP, 2022-06)

Natural disasters often cause large scale infrastructural damage and disruption of services. In such cases, a rapid damage assessment technique might prove beneficial to assist the disaster management efforts. Percent of ...

InSAR Data Analysis using Deep Neural Networks

Pasari, Sumanta (IOP, 2022-06)

Among all natural disasters, earthquakes cause the most severe devastation to both infrastructure as well as human lives. The pattern of surface deformation from satellite-based measures, such as interferometric synthetic ...

Impact of directional effect of strong ground motion on scenario-based earthquake hazards: preliminary results

Pasari, Sumanta (IOP, 2022)

Scenario-based earthquake hazards are useful for social planning and disaster mitigation. In this study, general attenuation properties of earthquake events are analysed empirically with respect to the direction of seismic ...

Earthquake Prediction Using Deep Neural Networks

Pasari, Sumanta (IEEE, 2022)

Reliable prediction of earthquakes has numerous societal and engineering benefits. In recent years, the exponentially rising volume of seismic data has led to the development of several automatic earthquake detection ...

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